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All issues Volume 30 (2021) BIO Web Conf., 30 (2021) 01009 Full HTML
Open Access
Issue
BIO Web Conf.
Volume 30, 2021
II International Symposium “Innovations in Life Sciences” (ILS 2020)
Article Number 01009
Number of page(s) 4
Section Innovations in Food Industry Technology
DOI https://doi.org/10.1051/bioconf/20213001009
Published online 22 April 2021

© The Authors, published by EDP Sciences, 2021

Licence Creative CommonsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

1 Introduction

“Fundamentals of state power of the Russian Federation for the period up to 2020” [3], “Fundamentals of state power of the Russian Federation in the field of healthy nutrition for the period up to 2020” [4], “Doctrine of food security of the Russian Federation” [5], “Strategy improving the quality of food products in the Russian Federation until 2030” (approved by Order of the Government of the Russian Federation of June 29, 2016 No. 1364-p) [7] and the Action Plan for the implementation of the Strategy for improving the quality of food in the Russian Federation until 2030 (approved by Order of the Government of the Russian Federation of April 19, 2017 No. 738 -p) [8]. All of these documents address issues related to the creation of conditions that ensure the satisfaction of the needs of various population groups for healthy nutrition in accordance with the requirements of medical science, as well as taking into account established traditions, habits and economic conditions.

Raw fish is the most important component of a healthy diet due to the uniqueness of the source of raw materials:

  • balanced amino acid composition;

  • the presence of essential polyunsaturated fatty acids of the omega-3 family.

But the development of products based on fish with desired properties is difficult, because the variability of the chemical composition of fish is approximately 40%, which is a fairly high indicator.

In order to expand the range of fish products, for the systematic use in the composition of food rations by all age groups of a healthy population, taking into account the rational use of fish raw materials and scientifically based nutritional standards, innovative products have been developed. The chemical composition of this product, justified from the point of view of evidence-based medicine, allows us to attribute it to a functional product.

Modeling of compositions with a given set of nutritional value indicators was carried out by optimizing multicomponent formulations.

2 Experimental

The following research methods were used in the analysis of the developed products:

  • for laboratory research of fish products, sampling and preparation of samples was carried out according to a single technique in accordance with the requirements of GOST 7636-85 [9], GOST 31339-2006 [10];

  • determination of protein content - Kjeldahl method according to GOST 25011-2017 [11];

  • the amino acid composition of the proteins was determined on an AAA-835 amino acid analyzer (“Hitachi”, Japan) by liquid chromatography;

  • tryptophan content was determined according to GOST 32201-2013 (ISO 13904: 2005) [12];

  • the vitamin content was determined by gas-liquid chromatography on a device Crystalux-4000M (Russia) on the reverse phase;

  • the potassium and magnesium content was determined by the photometric method according to GOST 26449.1-85 [13];

  • determination of phosphorus according to GOST 26657-97 [14].

To solve optimization problem, we applied the computer program of the Kuban State Technological University “Generik”, intended for aided design and calculation of multicomponent recipes of functional food products [15].

Statistical processing of individual indicators was carried out according to the Microsoft Excel-7.0 program with the determination of the average value, standard deviation and significance of differences by Student.

Experimental studies were carried out in 3-5 replicates.

3 Results and discussion

To obtain estimated information on the nutrient content in the composition of the modeled recipe, the material balance was used:

Ci=∑j=1nai,j×xj∑j=1nxj,$${C_i} = {{\sum\limits_{j = 1}^n {{a_{i,j}} \times {x_j}} } \over {\sum\limits_{j = 1}^n {{x_j}} }},$$(1)

where Ci – is a mass fraction of a particular macro or microcating substance in the recipe;

aij – is the value of the mass fraction of the i-th nutrient in the j-th ingredient (component);

xj – mass fraction of the j-th component in the recipe.

In the calculation process, the amino acid composition of prescription ingredients was used. From the obtained materials, data were selected that are characterized by the highest rates of desirability function (DF), which reflects the degree of balance of amino acids in product proteins. Taking into account the restrictions imposed on the quantitative content of components set during the development of food products (their sum is accepted as a unit) and permissible deviations from the values of the mass fractions of nutrients from reference ones, it was proposed to use the Lagrange function and the equation system in the form of conditions of the Kuhn-Tucker theorem for the convex programming problem to model recipes. Its solution allows us to obtain the vector x mass fractions of the recipe, the most balanced nutrient composition.

Modeling of the most balanced recipe does not always determine the highest quality of the finished food product, therefore, in most cases, not one, but a sufficiently wide range of options for the composition of the prescription composition is required for its development. For this purpose, it is proposed to divide the process of its optimization into two stages. The first is the modeling of the recipe as the definition of all possible options for the quantitative ratio of the ingredients included in it. The second is a qualitative assessment and selection of several of its most optimal options.

Harrington’s desirability function was used as a generalized criterion for assessing the quality of the modeled recipe, which ensures the independence of the properties of particular indicators with different dimensions and a range of variable values, and at the same time it allows you to combine relative complex and simple unit quality criteria into one formula:

Y=Πi=1k×pi,k$$Y = \root k \of {\mathop \Pi \limits_{i = 1}^k \times {p_i},} $$(2)

where Y – is a comprehensive quality criterion;

pi − particular criteria (functions) of quality.

When optimizing food recipes, it is usually advisable to use the desirability function using a two-way restriction:

pi=exp(−| yi, |nc,$${p_i} = \exp ( - {\left| {y_i^,} \right|^{{n_c}}},$$(3)

yi,=2×Ci−(Limax+Limin)Limax−Limin,$$y_i^, = {{2 \times {C_i} - ({L_{i\max }} + {L_{i\min }})} \over {{L_{i\max }} - {L_{i\min }}}},$$(4)

where Ci – is the mass fraction of the i-th nutrient (food substance) in the studied recipe;

Li min, Li max – the limits of the standard value of the ith food substance.

The parameter ni determines the characteristic of the curve, with ni→∞ the curve takes a rectangular shape.

As a result of the research, a range of fish culinary products for a healthy nutrition was developed, including the “Fish Loaf”, the recipe of which is presented in Table 1.

Features:

  • functionality;

  • balance of amino acid, mineral and vitamin formulations;

  • high quality of organoleptic indicators.

A culinary product has been developed for systematic use in order to increase the biological value and therapeutic value of diet food. It is part of dirts built on the principle of adapting the chemical composition and energy value of the diet to individual clinical and pathogenetic features of the disease.

We compared indicators of the chemical composition of the developed culinary product with the daily requirement of an adult for food substances according to the balanced nutrition formula by A. A. Pokrovsky (Table 2).

Table 1.

Formatting sections, subsections and subsubsections

Table 2.

Comparative indicators of the chemical composition of fish culinary products “fish loaf” with a daily requirement for them.

References

  • O. Kutina, M. Mogil’nyj, T. Shlenskaya, and T. Sharova, Fish loaf with herbal components, Patent №2630314, Bul. 19 (2015) [Google Scholar]
  • M. Mogil’nyj (editor), Book of technical standards. Recipe book for the nutrition of workers at manufacturing enterprises and students in educational institutions of higher education (Deli plyus, Moscow, 2016) [Google Scholar]
  • The concept of long-term socio-economic development of the Russian Federation for the period up to 2020, approved by the order of the Government of the Russian Federation of November 17 (2008) [Google Scholar]
  • Fundamentals of the state policy of the Russian Federation in the field of healthy nutrition of the population for the period up to 2020 were approved by the Order of the Government of the Russian Federation of October 25 (2010) [Google Scholar]
  • Food Security Doctrine of the Russian Federation, approved by the Decree of the President of the Russian Federation of January 21, 20 (2020) [Google Scholar]
  • The development strategy of the food and processing industry of the Russian Federation for the period up to 2020, approved by the Order of the Government of the Russian Federation of April 17 (2012) [Google Scholar]
  • Food quality improvement strategy in the Russian Federation to 2030, approved by the order of the Government of the Russian Federation of June 29, (2016) [Google Scholar]
  • Action plan for the implementation of the food quality improvement strategy in the Russian Federation until 2030, approved by the decree of the Government of the Russian Federation of April 19, (2017) [Google Scholar]
  • GOST 7636-85. Fish, marine mammals, invertebrates and products of their processing. Methods of analysis, (Standartinform, Moscow, 2010) [Google Scholar]
  • GOST 31339-2006. Fish, non-fish objects and products of their processing. Acceptance rules and sampling methods, (Standartinform, Moscow, 2007) [Google Scholar]
  • GOST 25011-2017. Meat and meat products. Protein determination methods, Moscow: Standartinform, (Standartinform, Moscow, 2018) [Google Scholar]
  • GOST 32201-2013 (ISO13904:005). Feeds, compound feeds. Method for determination of tryptophan, (Standartinform, Moscow, 2014) [Google Scholar]
  • GOST 26449.1-85. Stationary distillation desalting units. Methods of saline water chemical analysis, (Izdatel’stvo standartov, Moscow, 1986) [Google Scholar]
  • GOST 26657-97. Fodders, mixed fodders, mixed fodder raw materials. Methods for determination of phosphorus content, (Interstate Council for Standardization, Metrology and Certification, Minsk, 1998) [Google Scholar]
  • A. Zaporozhskiy, V. Zaporozhskiy, Program for computer aided design, calculation and quality assessment of multicomponent food recipes (Generic-2.0), Certificate of program for computer, 2005611720 [Google Scholar]
  • GOST R 55577-2013. Specialized and functional foodstuffs. Information about the distinctive signs and efficiency claims, (Standartinform, Moscow, 2014) [Google Scholar]

All Tables

Table 1.

Formatting sections, subsections and subsubsections

In the text
Table 2.

Comparative indicators of the chemical composition of fish culinary products “fish loaf” with a daily requirement for them.

In the text

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